Visualization

Abbreviation

VIS

Credit Points

Semester

Winter

Term

Duration

1 Semester

Language

english

Level

Bachelor

Link:	LSF
Limited accessability:
Responsibility:	Bernhard Preim
Lecturer:	Bernhard Preim
Classes:	Lecture Visualization Exercise Visualization
Applicability in curriculum:	- B.Sc. INF: Informatik - Wahlpflicht - B.Sc. INF: Informatik Wahlpflicht (SPO 2027) - B.Sc. CV: Computervisualistik - Pflicht - B.Sc. CV: Computervisualistik Pflicht (SPO 2027) - B.Sc. INGINF: Informatik - Wahlpflicht - B.Sc. INGINF: Informatik Wahlpflicht (SPO 2027) - B.Sc. WIF: Gestalten und Anwenden - Wahlpflicht - B.Sc. WIF: Informatik Wahlpflicht (SPO 2027) - B.Sc. INF (bilingual): Informatik - Wahlpflicht - B.Sc. INF (bilingual): Informatik Wahlpflicht (SPO 2027)

Intended learning outcomes:
Students ...

understand how physiological perception affects visualization effectiveness
know basic visualization techniques, such as color coding, diagramme types and techniques to visualize graph and network data
can generate appropriate visualizations for business and statistical data

Content:

Workload:
56 contact hours + 94 h self study

Pre-examination requirements:

Type of examination:

Teaching method / lecture hours per week (SWS):

Successful participation in the exercise (voting system, vote for at least 2/3 of all tasks)

Written exam, 2hours

Prerequisites according to examination regulations:

Recommended prerequisites:

none

Media:

Literature:

P. and M. Keller (1994): Visual Cues, IEEE Computer Society PressT. Munzner (2015). Visualization Analysis and Design: Principles, Techniques, and Practice, A K Peters
W. Schroeder, K. Martin, B. Lorensen (2001): The Visualization Toolkit: An object-oriented approach to 3d graphics, 3. Aufl. Springer, Heidelberg
A. Telea (2014): Data Visualization: Principles and Practice, Second Edition, AK Peters (2. Auflage)
Munzner, T. (2014). Visualization analysis and design. CRC press.
Tominski, C., & Schumann, H. (2020). Interactive visual data analysis. AK Peters/CRC Press.
M. Ward, D. Keim, G. Grinstein (2015): Interactive Data Visualization: Foundations, Techniques, and Applications, Second Edition

Comments:

Revision #1
Created 2026-10-01 07:43:41 UTC by Fakultät für Informatik
Updated 2026-10-01 07:43:41 UTC by Fakultät für Informatik